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Graph Data Engineer- C11 - PUNE

Job Req ID 25882776 Location(s) Pune, India Job Type Hybrid Job Category Technology
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Job Description

Responsibilities:

  • Neo4j expertise: Proven experience with Neo4j, including its core concepts, Cypher query language, and best practices. 
  • Designing and implementing graph database solutions: This includes creating and maintaining graph schemas, models, and architectures. Designing, developing, and deploying graph-based solutions using Neo4j. This includes defining data models, creating nodes, relationships, and properties, and implementing Cypher queries to retrieve and manipulate data. 
  • Migrate data from relational or other databases into Neo4j.
  • Optimizing Cypher queries for performance, ensuring efficient data retrieval and manipulation. This may involve indexing, query optimization techniques, and understanding graph database performance characteristics. 
  • Familiarity with graph theory, graph data modeling, and other graph database technologies
  • Developing and optimizing Cypher queries
  • Integrating Neo4j with BI and other systems

Good to have:

  • Develop Spark applications using Scala or Python (Pyspark) for data transformation, aggregation, and analysis.
  • Develop and maintain Kafka-based data pipelines: This includes designing Kafka Streams, setting up Kafka Clusters, and ensuring efficient data flow.
  • Create and optimize Spark applications using Scala and PySpark: They leverage these languages to process large datasets and implement data transformations and aggregations.
  • Creating and maintaining documentation for system architecture, design, and operational processes

Proficiency in: 

  • Deep hands-on expertise into building Neo4j Graph solution
  • Hadoop ecosystem big data tech stack (HDFS, YARN, MapReduce, Hive, Impala)

Good to have:

  • Spark (Scala, Python) for data processing and analysis.
  • Kafka for real-time data ingestion and processing.
  • ETL processes and data ingestion tools 
  • Hands-on expertise in Pyspark, Scala, Kafka

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

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